Le Chen陳樂

Preprint 2026

WAMJET: A Harness for World Action Model Acceleration

Le Chen, Lixin Liu, Jan Schneider, Zeju Qiu, Simon Guist, Bernhard Schölkopf, Dieter Büchler

Preprint, 2026

• paper
• code
• website

CoRL 2026

Sim-to-Real Transfer for Muscle-Actuated Robots via Generalized Actuator Networks

Jan Schneider, Mridul Mahajan, Le Chen, Simon Guist, Bernhard Schölkopf, Ingmar Posner, Dieter Büchler

Conference on Robot Learning (CoRL), 2026

• paper

Preprint 2026

Bounded Ratio Reinforcement Learning

Yunke Ao, Le Chen, Bruce D. Lee, Assefa S. Wahd, Aline Czarnobai, Philipp Fürnstahl, Bernhard Schölkopf, Andreas Krause

Preprint, 2026

• paper
• code
• website

Preprint 2026

LOME: Learning Human-Object Manipulation with Action-Conditioned Egocentric World Model

Quankai Gao, Jiawei Yang, Qiangeng Xu, Le Chen, Yue Wang

Preprint, 2026

• paper
• code
• website

ICLR 2026

Efficient Reinforcement Learning by Guiding Generalist World Models with Non-Curated Data

Yi Zhao, Aidan Scannell, Wenshuai Zhao, Yuxin Hou, Tianyu Cui, Le Chen, Dieter Büchler, Arno Solin, Juho Kannala, Joni Pajarinen

International Conference on Learning Representations (ICLR), 2026

• paper

Under review

Dexterous Robotic Piano Playing at Scale

Le Chen*, Yi Zhao*, Jan Schneider, Quankai Gao, Simon Guist, Qian Cheng, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler

Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Under Review, 2025

(*: equal contribution)

• paper

CoRL 2024

RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands

Yi Zhao*, Le Chen*, Jan Schneider, Quankai Gao, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler

Conference on Robot Learning (CoRL), 2024

(*: equal contribution)

• paper
• website
• dataset
• code
• video

RSS 2024

Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion

Simon Guist, Jan Schneider, Hao Ma, Le Chen, Vincent Berenz, Julian Martus, Heiko Ott, Felix Grüninger, Michael Muehlebach, Jonathan Fiene, Bernhard Schölkopf, Dieter Büchler

Robotics: Science and Systems (RSS), 2024

• paper
• website
• dataset
• hardware
• software

TMLR 2025

GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation

Quankai Gao, Qiangeng Xu, Zhe Cao, Ben Mildenhall, Wenchao Ma, Le Chen, Danhang Tang, Ulrich Neumann

Transactions on Machine Learning Research (TMLR), 2025

• paper
• website
• code

ICLR 2024

Identifying Policy Gradient Subspaces

Jan Schneider, Pierre Schumacher, Simon Guist, Le Chen, Daniel Haeufle, Bernhard Schölkopf, Dieter Büchler

International Conference on Learning Representations (ICLR), 2024

• paper
• website
• code

CVPR 2024

LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry

Weirong Chen, Le Chen, Rui Wang, Marc Pollefeys

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024

• paper
• code
• website
• video
• poster

ICRA 2024

Leveraging Neural Radiance Fields for Uncertainty Aware Visual Localization

Le Chen, Weirong Chen, Rui Wang, Marc Pollefeys

IEEE International Conference on Robotics and Automation (ICRA), 2024

• paper
• video

RA-L 2022

Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields

Soomin Lee*, Le Chen*, Jiahao Wang, Alexander Liniger, Suryansh Kumar, Fisher Yu

IEEE Robotics and Automation Letters (RA-L), 2022

IEEE International Conference on Robotics and Automation (ICRA), 2023

(*: equal contribution)

• paper
• website
• video
• bibtex

ICRA 2022

Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning

Yunke Ao*, Le Chen*, Florian Tschopp, Michel Breyer, Andrei Cramariuc, Roland Siegwart

IEEE International Conference on Robotics and Automation (ICRA), 2022

(*: equal contribution)

• paper
• poster
• supp video
• code
• bibtex

CoRL 2020

Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning

Le Chen*, Yunke Ao*, Florian Tschopp, Andrei Cramariuc, Michel Breyer, Jen Jen Chung, Roland Siegwart, Cesar Cadena

Conference on Robot Learning (CoRL), 2020

(*: equal contribution)

• paper
• spotlight talk
• supp video
• code
• bibtex

Complexity 2019

Jiles-Atherton Based Hysteresis Identification of Shape Memory Alloy-Actuating Compliant Mechanism via Modified Particle Swarm Optimization Algorithm

Le Chen, Ying Feng, Rui Li, Xinkai Chen, Hui Jiang

Complexity, vol. 2019

• paper
• bibtex

Course project 2020

Transition From Model-Based to Model-Free Actor-Critic Reinforcement Learning

Le Chen, Yunke Ao, Kaiyue Shen, Zheyu Ye

Course Project in Deep Learning, 2020

• report
• code

Course project 2020

Leveraging Pixel Correspondences for Sparse-to-Dense Feature-Metric Localization

Le Chen, Lixin Xue, Zimeng Jiang

Course Project in 3D Vision, 2020

• report
• code